Grant Konkel Resume
Summary: Computer Science graduate with an AI concentration and a secondary major in Mathematics. Experienced in data analysis, machine learning and computer vision, with AI research in spatial transcriptomics and applied mathematical modeling. Seeking roles in machine learning, applied AI research, or data science.
Skills:
Tools: Python, MatLab, C, Java, R, ArcGIS, SolidWorks, Blender, Power BI, Tableau, Excel
Mathematics: Numerical Analysis, Real Analysis 1 & 2, Complex Analysis, Abstract Algebra
AI: Artificial Intelligence, Machine Learning, Computer Vision, Computational Perception
Probability: Statistics, Sequential Decision Making
Experience:
Teaching Assistant (Computational Perception)
Case Western Reserve University, Cleveland, OH
Jan 2025 - May 2025
- Held weekly office hours to answer questions regarding grading, lectures, and class expectations
- Graded students assignments and quizzes, provided feedback, and pointed students to areas for improvement
- Attended weekly meetings with the professor to highlight common questions
- Aided in lesson planning and creating curriculum goals
Undergraduate Researcher (AI / Mathematics)
Case Western Reserve University, Cleveland, OH
Jan 2024 - Feb 2025
- Researched deconvolution methods for Spatial Transcriptomics data using machine learning and matrix factorization
- Created Spatial Transcriptomics Learned Non-negative Matrix Factorization (STL NMF), a method of applying unrolled regularized Non-negative Matrix Factorization techniques onto Spatial Transcriptomics data
- Demonstrated that STL NMF outperformed existing methods in identifying cell-types and localizing cancer regions
- Presented work at the Joint Mathematics Meetings (JMM)in Seattle, January 2025
- Wrote and submitted Unrolling Regularized Non-negative Matrix Factorization for Spatial Transcriptomics Data to the International Conference for Image Processing (ICIP)
Software Developer (Data Science)
Donald Danforth Plant Science Center, St. Louis, MO
Jan 2021 - May 2021
- Contributed to the PlantCV open-source Python library for high-throughput plant phenotyping
- Debugged and extended image analysis functions, including plant image segmentation
- Wrote documentation and unit tests to improve usability and code reliability
- Listed author on PlantCV v4: Image analysis software for high-throughput plant phenotyping
Education:
Case Western Reserve University, Cleveland, OH
Bachelor of Science in Computer Science (AI Concentration)
Secondary Major in Mathematics
Aug 2021 - May 2025
GPA: 3.75/4.0
Competitions:
World Wide Technology Hackathon, St. Louis, MO
Oct 2017 - Feb 2018
- Coding lead as a Freshman in HS
- Created → 80% of our code
- Team won 1st place and a $10,000 prize for our high school.
Certifications:
IBM:
- Data Analysis with Python
- Statistics 101
- Deep Learning Fundamentals
- IBM Cloud Essentials
Kaggle:
- Time Series
- Feature Engineering
- Advanced SQL
- Computer Vision
Misc:
- HackerRank Problem Solving
- Simplilearn Power BI
- GreatLearning Excel
Download my Resume here.